AI / ML Architect (Hands-On | Individual Contributor)
Experience
8-10 years total experience with 5+ years in AI / ML systems and strong hands-on coding skills.
Role Summary
We are looking for a hands-on AI / ML Architect who will work as an Individual Contributor, designing, building and deploying scalable AI / ML solutions. This role is NOT people-management focused u2013 you will actively write production grade code, build models, architect ML platforms, and collaborate closely with cross functional engineering, product, and domain teams.
What Youu2019ll Do:
We are currently seeking an experienced AI Architect who will collaborate closely with cross-functional teams to develop and deploy AI-powered features and tools that optimize employee experiences and drive business outcomes.
- As an AI/ML Arch, you will be responsible for designing, developing, and deploying machine learning models and AI applications that solve complex business problems.
- Expert in Designing and developing search and chat applications that utilize Agentic AI.
- Design and develop AI paved paths for the Alight engineering organization.
- Experiment to evaluate application performance, including designing experiments to evaluate the performance of machine learning models, and then analyze and interpret the results to improve model performance.
- Stay up to date with new tools and technologies and evaluating their potential impact on the business.
- Work with stakeholders to develop and tune algorithms to address business needs. You should be able to effectively communicate your ideas in non-technical terms to help educate business partners
- Evaluate, fineu2011tune, and deploy LLMs and foundation models implement RAG, guardrails, and prompt engineering best practices (conversant with Github Copilot).
- Conversant with LLM security practices u2013 Secure model deployment, Input validation, Data verification (guardrails) etc.
- Write production quality Python code for:
- Feature Engineering
- Model evaluation
- Interface services (APIs)
- Conversant with Spring AI u2013 building MCPs, tools, pre-plugin and post-plugin etc.
- Build high performant Ingestion pipelines.
- Expertise across cloud (AWS), data engineering, ML/GenAI and data ingestion techniques
- Work with CI/CD pipelines (Github Actions, Gitlab, Jenkins)
- Mentor engineers on ML best practices (without direct people management)
- Collaborate on a high-performing, agile team with a global presence
What Youu2019ll Need:
- Overall, 8 -10 years of experience into Data Engineering, Ingestion, AI ML / Gen AI related projects.
- Specifically, AI / Gen AI / ML project(s) with 5+ years of experience
- Masteru2019s degree with preferred concentrations in Computer Science, Data Science, Math, Actuarial Science, Engineering, or related field.
- Experience writing in Python or Spark (ScalaSpark or PySpark) and with popular machine learning libraries such as TensorFlow, Keras, PyTorch, and conversant with JAVA (Spring AI)
- Conversant with Spring boot services
- AI/ML architects should have experience with data preparation and data engineering tasks such as data cleaning, feature engineering, and data transformation
- Knowledge of deep learning architectures and techniques, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and reinforcement learning.
- Familiarity with AWS data and data science tools including SageMaker, Glue, Lambdas, etc.
- Experience in Agile and DevOps development process
- Must be able to clearly communicate complex technical concepts to a non-technical audience
We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
DISCLAIMER:
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities including but not limited to subsidiaries, partners, or purchasers of Alight business units.
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